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Lecture Chair: Felix Balzer (Mitglied Steuerungskomitee)


Bitte beachten Sie, dass die Lecture in englischer Sprache stattfindet.



The gaps in the medical knowledge system stem from the systematic exclusion of the majority of the world’s population from health research. These gaps combined with implicit and explicit biases lead to suboptimal medical decision making which negatively impact health outcomes for everyone, but especially those in groups typically under-represented in health research.  Recent developments in machine learning and AI technologies hold some promise to address the issues with the generation of scientific evidence and human decision making. They also, however, have spurred concerns about their potential to maintain if not exacerbate these problems. These concerns must be aggressively addressed by adopting necessary structural reforms to ensure that the field is both equitable and ethical by design.

Über den Sprecher

Leo Anthony Celi

  • Institute for Medical Engineering and Science, Massachusetts Institute of Technology
  • Department of Medicine, Beth Israel Deaconess Medical Center
  • Department of Biostatistics, Harvard T.H. Chan School of Public Health

About the Speaker

As clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP), and as a practicing intensive care unit (ICU) physician at the Beth Israel Deaconess Medical Center (BIDMC), Leo brings together clinicians and data scientists to support research using data routinely collected in the process of care. His group built and maintains the publicly-available Medical Information Mart for Intensive Care (MIMIC) database and the Philips-MIT eICU Collaborative Research Database, with more than 20,000 users from around the world. In addition, Leo is one of the course directors for HST.936 – global health informatics to improve quality of care, and HST.953 – collaborative data science in medicine, both at MIT. He is an editor of the textbook for each course, both released under an open access license. "Secondary Analysis of Electronic Health Records" has been downloaded more than a million times, and has been translated to Mandarin, Spanish and Korean. He is the inaugural editor of PLOS Digital Health.


Die BIH Lecture wird online über GoToMeeting veranstaltet. Um an der BIH Lecture teilzunehmen, bitten wir Sie, sich hier anzumelden. Die Registrierung ist geöffnet, bis die maximale Teilnehmer*innen-Zahl erreicht ist.

LogIn Information



Donnerstag, 24. Juni 2021
16:00 – 17:00 Uhr


via GoToMeeting
Einen Login-Link bzw. eine Einwahlnummer fürs Telefon sowie den Zugangscode zur BIH Lecture erhalten Sie am Abend vor der Veranstaltung.


Bitte melden Sie sich hier an.
Die Registrierung ist geöffnet, bis die maximale Teilnehmer*innen-Zahl erreicht ist.

Translation Hub | Digitale Medizin

Tim Ellermann

Referent Medical and Health Data Sciences, Forschungskoordinator

Telefon:+49 30 450 543 040